Greetings, how are you doing? I hope it’s great Due to high volume of request for new ways to understand and adopt machine learning, deep learning and other Ai concepts in the space of analytics We de.
Greetings, how are you doing? I hope it’s great Due to high volume of request for new ways to understand and adopt machine learning, deep learning and other Ai concepts in the space of analytics We decided to put the course in the text format provided with the references along with the codes to cope up the speed of adopting innovation and make it accessible straight back to you The reference links contains premium shared links exclusively for this course, accessing those in general requires subscription to the hosting platform Medium Also provided with Python & R codes for ease of code reusability and learning Don’t forget to subscribe and support Enjoy……… 1.) Types Regression in 45 lines of code https://medium.com/data2dimensions-rupak-bob-roy/5-types-regression-in-45-lines-of-code380467058449?source=friends_link&sk=d2ba969dae7a825b3bfdddd97e4ce7a3 2.) Types of Classification using python https://medium.com/data2dimensions-rupak-bob-roy/7-types-of-classification-using-python4448acd3ef79?source=friends_link&sk=c4d115f0e86ebb517e2bad2425c3e1dd 3.) Let’s Develop Artificial Neural Network in 30 lines of code — II https://medium.com/data2dimensions-rupak-bob-roy/lets-develop-artificial-neural-network-in-30lines-of-code-ii-76a9e1f93566?source=friends_link&sk=31b7f635a8364bfebce8b270ed465a4f 4.) Let’s Develop Artificial Neural Network in 30 lines of code https://medium.com/data2dimensions-rupak-bob-roy/lets-develop-artificial-neural-network-in-30lines-of-code-b097fd5ee4a5?source=friends_link&sk=9f456b48e1be464066760adb9ced30d3 5.) Reinforcement Learning | In 31 Steps https://medium.com/data2dimensions-rupak-bob-roy/reinforcement-learning-in-31-stepsd08cae409ec1?source=friends_link&sk=85f2aac8d5f66f8d068c4777fbb977ae 6.) What is PCA and How can we apply Real Quick and Easy Way? https://medium.com/data2dimensions-rupak-bob-roy/what-is-pca-and-how-can-we-apply-realquick-and-easy-way-ef23dc381228?source=friends_link&sk=eda40239cedcf5e764ac22525b83cf3f 7.) What is Supervised Linear Discriminant Analysis(LDA) ~ PCA https://medium.com/data2dimensions-rupak-bob-roy/what-is-supervised-linear-discriminantanalysis-lda-pca-4b0a022e3e81?source=friends_link&sk=2c2ba6a1e725f1f71b93c3f9b3459732 8.) What is Kernel PCA? using R & Python https://medium.com/data2dimensions-rupak-bob-roy/what-is-kernel-pcabb93f57259dd?source=friends_link&sk=b62011dc5f380acf9b435d768f357f92 9.) Association Rule Learning https://medium.com/data2dimensions-rupak-bob-roy/association-rule-learning4dce1a0deb90?source=friends_link&sk=4b90d8c9eca36bf78125ae50bb7592fb 10.) Multi-Layer Perception Time Series https://medium.com/data2dimensions-rupak-bob-roy/multi-layer-perception-time-series14164bda2c0d?source=friends_link&sk=76434732cf33326ac8db9d26c594031c 11.) LSTMs for regression https://medium.com/data2dimensions-rupak-bob-roy/lstms-for-regressionc7e53898d8fa?source=friends_link&sk=a532589ef5d9faba96343bec11817924 12.) Uni-Variate LSTM Time Series Forecasting https://medium.com/data2dimensions-rupak-bob-roy/uni-variate-lstm-time-series-forecasting5d051c518d96?source=friends_link&sk=8b4b5655d7f070b3f919c5c5406b9a24 13.) Multi-variate LSTM Time Series Forecasting https://medium.com/data2dimensions-rupak-bob-roy/multi-variate-lstm-time-series-forecastingcdfc0568dfb4?source=friends_link&sk=371521665bef4a0ebad456978e8486cb 14.) Multi-Step LSTM Time Series Forecasting https://medium.com/data2dimensions-rupak-bob-roy/multi-step-lstm-time-series-forecastingb9e57cf6c191?source=friends_link&sk=27d5ffbd5f6467593d21e11cee5fc661 15.) Grid Search For ML & Deep Learning Models https://medium.com/data2dimensions-rupak-bob-roy/grid-search-for-ml-deep-learning-modelsf72a8a0fc8e3?source=friends_link&sk=6ddbd38715170992cd043f4057aef633 16.) types of Multi*-Classification using python https://medium.com/data2dimensions-rupak-bob-roy/7-types-of-multi-classification-using-python8ee82040fd35?source=friends_link&sk=454c6430b1e23beca60b4a40959cea7b